隐藏数字足迹对用户隐私和个性化的影响
Sofie Goethals1, Sandra Matz2, Foster Provost3
1Department of Engineering Management, University of Antwerp, Antwerp, Belgium.
Big data
|January 10, 2025
概括
隐藏数字足迹可以保护用户的隐私免受不必要的推断. 然而,这种策略,特别是使用元特征,可能会随着时间的推移降低个性化服务的准确性.
科学领域:
- 计算机科学 计算机科学
- 社会科学 社会科学 社会科学
背景情况:
- 在线活动产生广泛的数字足迹,提供个性化的服务,但冒着用户隐私的风险.
- 数字足迹揭示了亲密的个人特征,需要保护隐私的机制.
研究的目的:
- 探索"掩盖"数字足迹的有效性和长期可行性,以防止不必要的推断.
- 评估隐蔽对期望推断的准确性的影响,例如服务个性化.
- 引入和评估一种新的元特征隐藏策略.
主要方法:
- 对比一种新的元特征隐藏策略与原始足迹隐藏.
- 随着新数字足迹的产生,随着时间的推移对隐蔽效果的分析.
- 评估隐私保护与期望推论准确性之间的权衡.
主要成果:
- 随着时间的推移,隐蔽的有效性会减弱,但元特征隐蔽会减缓这种退化.
- 隐私 (掩盖不必要的推断) 和个性化 (理想的推断) 之间存在一个权衡.
- 超特征策略虽然比较稳定,但导致了更大程度的减少可取推断.
结论:
- 隐蔽提供了一种可行的,尽管不完美的方法来增强数字隐私.
- 超特征隐蔽提供了更稳定的隐私保护,但对个性化准确度的成本更高.
- 平衡隐私和个性化需要仔细考虑隐蔽策略.
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